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PubMed2001

Proteomics in the post-genome age.

The genome sequencing effort has helped spawn the burgeoning field of proteomics. This review article examines state-of-the-art proteomics methods that are helping change the discovery paradigm in a variety of biological disciplines and, in particular, protein biochemistry. The review discusses both classical and novel methods to perform high-throughput qualitative and quantitative "global" as well as targeted proteome analysis of complex biological systems. From a drug discovery standpoint, the synergy between genomics and proteomics will help elucidate disease mechanisms, identify novel drug targets, and identify surrogate biomarkers that could be used to conduct clinical trials.

Animals↗

PubMed2006

Pilot study of the Human Proteome Organisation Brain Proteome Project: applying different 2-DE techniques to monitor proteomic changes during murine brain development.

The Human Proteome Organisation Brain Proteome Project aims at coordinating neuroproteomic activities with respect to analysis of development, aging, and evolution in human and mice and at analysing normal aging processes as well as neurodegenerative diseases. Our group participated in the mouse pilot study of this project using two different 2-DE systems, to find out the optimal conditions for comprehensive gel-based differential proteome analysis. Besides the assessment of the best methodical conditions the question of "How many biological replicate analyses have to be performed to get reliable statistically validated results?" was addressed. In total 420 differences were detected in all analyses. Both 2-DE methods were found to be suitable for comprehensive differential proteome analysis. Nevertheless, each of the methods showed substantial advantages and disadvantages resulting in the fact that modification of both systems is essential. From our results we can draw the conclusions that for the future optimal quantitative differential gel-based brain proteome analyses the sample preparation has to be slightly changed, the resolution of the first as well as the second dimension has to be advanced, the number of experiments has to be increased and that the 2D-DIGE system should be applied.

Aging↗

PubMed2006

Proteomic analysis of rat cerebral cortex, hippocampus and striatum after exposure to morphine.

Although a series of proteins in the brain have been shown to be qualitatively or quantitatively dysregulated following morphine administration, a systematic proteomic study has not been carried out so far. We therefore aimed to show the effect of morphine on protein levels in the rat brain. For this purpose rats were given a morphine base in subcutaneously placed pellets and subsequently the cerebral cortex, hippocampus and striatum were taken for proteomic studies after three days. Extracted proteins were run on two-dimensional gel electrophoresis, scanned and quantified by specific software. Proteins with significantly different levels were analysed by mass spectrometry (MALDI-TOF-TOF). Twenty-six proteins were found to be differentially expressed and were unambiguously identified. Dysregulated proteins were from several protein pathways and cascades including signaling, metabolic, protein handling, antioxidant and miscellaneous classes. These findings represent an initial approach to the generation of a 'morphinome' and may form the basis for further protein chemical studies as a valuable analytical tool. Moreover, the study reveals morphine-regulated proteins in different brain areas and indicates the pathways involved following morphine administration in the rat, the main species for pharmacological studies in the field.

Analgesics, Opioid↗

PubMed2006

Quantitative PCR-based approach for rapid phage display analysis: a foundation for high throughput vascular proteomic profiling.

Functional proteomic strategies offer unique advantages over current molecular array approaches, as the epitopes identified can directly provide bioactive peptides for investigational and/or translational applications. The vascular endothelium is well suited to proteomic assessment by in vivo phage display, but extensive enrichment and sequencing steps limit its application for high throughput molecular profiling. To overcome these limitations we developed a quantitative PCR (Q-PCR) strategy to allow the rapid quantification of in vivo phage binding. Primers were designed for distinct clones selected from a defined phage pool to probe for age-associated changes in cardiac vascular epitopes. Sensitivity and specificity of the primer sets were tested and confirmed in vitro. Q-PCR quantification of phage in vivo confirmed the preferential homing of all phage clones to the young rather than old cardiac vasculature and demonstrated a close correlation with phage measurements previously determined using traditional bacterial-based titration methods. This Q-PCR approach provides quantification of phage within hours of phage injection and may therefore be used for rapid, high throughput analysis of binding of defined phage sequences both in vivo and in vitro, complementing nonbiased phage approaches for the proteomic mapping of vascular beds and other tissues.

Aging↗

PubMed2005

Expression and function of proteins during development of the basal region in rice seedlings.

A differential display of proteins with a two-dimensional polyacrylamide gel electrophoresis approach was used to analyze protein expression changes during development of the basal region in rice seedlings (Oryza sativa L. cv. Nipponbare). The proteins were detected as 700 Coomassie Brilliant Blue-stained spots with pI values from around 3.5 to 9.0. A proteome reference map was established for the basal region of two-week-old seedlings. The basal region proteome map was used to analyze quantitative variations in the tissue during development from 2-, 4-, 6-, 8-, and 10-week-old seedlings. During development, 31 proteins were up-regulated, and 30 proteins were down-regulated compared with the 2-week-old basal region proteome map. The main functions of these proteins were primary metabolism and protein synthesis or maintenance. Calreticulin precursor, enolase, and voltage-dependent anion channel were identified among the up- and down-regulated proteins. The twin spots of calreticulin precursor and enolase with different pI values are possibly due to post-translational modifications such as phosphorylation. In addition, seven proteins showed developmental stage-specific expression. All of the developmentally regulated proteins of the basal region were clustered by the S-system, a differential equation that fit to time course of cluster and analyzed for cluster relationships. Proteins with unknown functions were tentatively assigned to functional groups based on cluster relationships. Basal region development proteome data will be valuable for resolving questions in functional genomics. In addition, cluster analysis of the basal region proteome during development will be useful for the assessment of functional proteins.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2002

Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags.

Understanding biological systems and the roles of their constituents is facilitated by the ability to make quantitative, sensitive, and comprehensive measurements of how their proteome changes, e.g., in response to environmental perturbations. To this end, we have developed a high-throughput methodology to characterize an organism's dynamic proteome based on the combination of global enzymatic digestion, high-resolution liquid chromatographic separations, and analysis by Fourier transform ion cyclotron resonance mass spectrometry. The peptides produced serve as accurate mass tags for the proteins and have been used to identify with high confidence >61% of the predicted proteome for the ionizing radiation-resistant bacterium Deinococcus radiodurans. This fraction represents the broadest proteome coverage for any organism to date and includes 715 proteins previously annotated as either hypothetical or conserved hypothetical.

Bacteria↗

PubMed2026

Community-driven advances in computational mass spectrometry: The perspective of EuBIC-MS members.

Advances in data acquisition, artificial intelligence, and integrative bioinformatics are driving the rapid evolution of computational mass spectrometry, and in turn, transforming modern proteomics, metabolomics, and lipidomics. These developments have greatly increased the scale and complexity of mass spectrometry data, underscoring the importance of evolving accurate, transparent, efficient and reproducible data processing workflows. Addressing these challenges requires collaborative innovation that brings together expertise in software engineering, statistics, and biology. The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS), an initiative of the European Proteomics Association (EuPA), fosters a culture of open, community-driven development through its biennial Developers Meetings and Winter Schools. This commentary summarizes the scientific background and outcomes of the EuBIC-MS Developers Meeting 2025, which took place in Novacella, Italy. Three keynote presentations highlighted major frontiers in the field: deep proteome and phosphoproteome profiling, text mining for protein-protein interaction extraction, and scalable proteomics for AI-driven drug discovery. Seven community-selected hackathons addressed emerging challenges such as single-cell proteomics data analysis, FAIR metadata extraction, deep learning frameworks, R-Python interoperability, and DIA validation. Together, these efforts demonstrate the potential for scientific and technical innovation to arise from open collaboration, and highlight how community-driven initiatives can accelerate progress in computational mass spectrometry. SIGNIFICANCE: Modern proteomics increasingly depends on computational advances to translate complex, high-dimensional data into biological knowledge. The EuBIC-MS Developers Meeting 2025 exemplifies how community-driven collaboration can directly accelerate this process by bringing together experts from bioinformatics, statistics, and experimental proteomics to co-develop open, interoperable, and reproducible analytical tools. By fostering shared software frameworks, transparent benchmarking, and collaborative problem solving, the EuBIC-MS community helps ensure that technological innovation translates into reliable biological insights. This collaborative model strengthens the foundation for quantitative, system-level understanding of proteomes and establishes a sustainable path for integrating artificial intelligence and next-generation data acquisition into routine biological discovery. This commentary shows some current highlights in the field of computational mass spectrometry and community-based approaches undertaken during the most recent Developers Meeting to solve these challenges. The approaches discussed and initiated during the meeting - ranging from deep proteome profiling and phosphosite mapping to text mining, single-cell data analysis, and FAIR metadata extraction - address key bottlenecks that currently limit the biological interpretability and comparability of proteomics data.

Mass Spectrometry↗

PubMed2006

Protein and proteome phosphorylation stoichiometry analysis by element mass spectrometry.

Protein phosphorylation stoichiometry was assessed by two analytical strategies. Both are based on element mass spectrometry (ICPMS, inductively coupled plasma mass spectrometry) and simultaneous monitoring of (31)P and (34)S. One strategy employs a combination of 1D gel electrophoresis, in-gel digestion, and final microLC-ICPMS analysis (microLC = capillary liquid chromatography). The other strategy uses the combination of 1D gel electrophoresis, protein blotting, and imLA-ICPMS (imLA = imaging laser ablation). The two methods were evaluated with standard phosphoproteins and were applied to the analysis of the cytoplasmatic proteome of bacterial cells (Corynebacterium glutamicum) and eukaryotic cells (Mus musculus). The eukaryotic proteome was found to exhibit a significantly higher phosphorylation degree (approximately 0.8 mol of P/mol of protein) compared to the bacterial proteome (approximately 0.01 mol of P/mol of protein). Both analytical strategies revealed consistent quantitative results, with the microLC-ICPMS approach providing the higher sensitivity. In summary, two ICPMS-based methods for quantitative estimation of the phosphorylation degree of a cellular proteome are presented which access the native proteome state and do not require any type of label introduction or derivatization.

Phosphorylation↗

PubMed2006

High light response of the thylakoid proteome in arabidopsis wild type and the ascorbate-deficient mutant vtc2-2. A comparative proteomics study.

The thylakoid proteome of chloroplasts contains multiple proteins involved in antioxidative defense, protein folding, and repair. To understand this functional protein network, we analyzed the quantitative response of the thylakoid-associated proteome of Arabidopsis (Arabidopsis thaliana) wild type and the ascorbate-deficient mutant vtc2-2 after transition to high light (HL; 1,000 micromol photons m(-2) s(-1)). The soluble thylakoid proteomes of wild type and vtc2-2 were compared after 0, 1, 3, and 5 d of HL using two-dimensional gels with three independent experiments, followed by a multivariant statistical analysis and tandem mass spectrometry. After 5 d of HL, both wild-type and vtc2-2 plants accumulated anthocyanins, increased their total ascorbate content, and lost 10% of photosystem II efficiency, but showed no bleaching. Anthocyanin and total ascorbate concentrations in vtc2-2 were respectively 34% and 20% of wild type, potentially leading to enhanced oxidative stress in vtc2-2. Forty-five protein spots significantly changed as a consequence of genotype, light treatment, or both. Independent confirmation was obtained from western blots. The most significant response was the up-regulation of thylakoid YCF37 likely involved in photosystem I assembly, and specific fibrillins, a flavin reductase-like protein, and an aldolase, each located in thylakoid-associated plastoglobules. Fe-superoxide dismutase was down-regulated in vtc2-2, while Cu,Zn-superoxide dismutase was up-regulated. vtc2-2 also showed a systematic up-regulation of a steroid dehydrogenase-like protein. A number of other stress-related proteins, several thylakoid proteases, and lumenal isomerases did not change, while PsbS increased in wild type upon light stress. These findings are discussed in terms of plastid metabolism and oxidative stress defense, and emphasize that understanding of the chloroplast stress-response network must include the enzymatic role of plastoglobules.

Arabidopsis↗

PubMed2003

Proteomics for monitoring immune responses to cancer vaccines.

Standardized biomarkers for the detection of clinically significant immunological responses would be extremely valuable in immunotherapy trials. Most available assays measure either the frequency or function of antigen-specific T-cells, or the titers of antibodies or immune complexes. These assays have generally exhibited either inadequate sensitivity or too high a signal-to-noise ratio to reliably detect the low-frequency T-cell responses induced by cancer vaccines. In addition, such assays reflect only one aspect of the immune response rather than the complete picture. Proteomics, the study of proteins within a cell or biological sample, may offer a novel approach to immunological monitoring that complements existing immunological assays. By studying the protein content of T-cells responding to a vaccine or in the serum of vaccinated individuals, it may be possible to develop a metric for quantitating the magnitude of immunological responses. Proteomics could also provide a tool for establishing the quality of the immune response and for obtaining valuable information regarding the underlying regulatory mechanisms and pathways. Advances in miniaturization and automation may also permit characterization of the immune response more rapidly and from smaller amounts of biological material than is possible with existing assay systems.

Animals↗

PubMed2003

Absolute quantification of the G protein-coupled receptor rhodopsin by LC/MS/MS using proteolysis product peptides and synthetic peptide standards.

Methods for the absolute quantification of a membrane protein are described using isotopically labeled or unlabeled synthetic peptides as standards. Synthetic peptides are designed to mimic peptides that are cleaved from target analyte proteins by proteolytic or chemical digestion, and the peptides selected serve as standards for quantification by LC/MS/MS on a triple quadrupole mass spectrometer. The technique is complementary to relative quantification techniques in widespread use by providing absolute quantitation of selected targets with greater sensitivity, dynamic range, and precision. Proteins that are found to be of interest by global proteome searches can be selected as targets for quantitation by the present method. This method has a much shorter analytical cycle time (minutes versus hours for the global proteome experiments), making it well suited for high-throughput environments. The present approach using synthetic peptides as standards, in conjunction with proteolytic or chemical cleavage of target proteins, allows mass spectrometry to be used as a highly selective detector for providing absolute quantification of proteins for which no standards are available. We demonstrate that quantification is simple and reliable for the integral membrane protein rhodopsin with reasonable recoveries for replicate experiments using low-micromolar solutions of rhodopsin from rod outer segments.

Chromatography, Liquid↗

PubMed2004

Proteomics for protein expression profiling in neuroscience.

As the technology of proteomics moves from a theoretical approach to a practical reality, neuroscientists will have to determine the most appropriate applications for this technology. Neuroscientists will have to surmount difficulties particular to their research, such as limited sample amounts, heterogeneous cellular compositions in samples, and the fact that many proteins of interest are rare, hydrophobic proteins. This review examines protein isolation and protein fractionation and separation using two-dimensional electrophoresis (2-DE) and mass spectrometry proteomic methods. Methods for quantifying relative protein expression between samples (e.g., 2-DIGE, and ICAT) are also described. The coverage of the proteome, ability to detect membrane proteins, resource requirements, and quantitative reliability of different approaches is also discussed. Although there are many challenges in proteomic neuroscience, this field promises many rewards in the future.

Animals↗

PubMed2002

Quantitative protein profiling using two-dimensional gel electrophoresis, isotope-coded affinity tag labeling, and mass spectrometry.

Quantitative protein profiling is an essential part of proteomics and requires new technologies that accurately, reproducibly, and comprehensively identify and quantify the proteins contained in biological samples. We describe a new strategy for quantitative protein profiling that is based on the separation of proteins labeled with isotope-coded affinity tag reagents by two-dimensional gel electrophoresis and their identification and quantification by mass spectrometry. The method is based on the observation that proteins labeled with isotopically different isotope-coded affinity tag reagents precisely co-migrate during two-dimensional gel electrophoresis and that therefore two or more isotopically encoded samples can be separated concurrently in the same gel. By analyzing changes in the proteome of yeast (Saccharomyces cerevisiae) induced by a metabolic shift we show that this simple method accurately quantifies changes in protein abundance even in cases in which multiple proteins migrate to the same gel coordinates. The method is particularly useful for the quantitative analysis and structural characterization of differentially processed or post-translationally modified forms of a protein and is therefore expected to find wide application in proteomics research.

Affinity Labels↗

PubMed2006

Analytical methodologies for the detection and structural characterization of phosphorylated proteins.

Phosphorylation of proteins is a frequent post-translational modification affecting a great number of fundamental cellular functions in living organisms. Because of its key role in many biological processes, much effort has been spent over the time on the development of analytical methodologies for characterizing phosphoproteins. In the past decade, mass spectrometry-based techniques have emerged as a viable alternative to more traditional methods of phosphorylation analysis, providing accurate information for a purified protein on the number of the occurring phosphate groups and their exact localization on the polypeptide sequence. This review summarizes the analytical methodologies currently available for the analysis of protein phosphorylation, emphasizing novel mass spectrometry (MS) technologies and dedicated biochemical procedures that have been recently introduced in this field. A formidable armamentarium is now available for selective enrichment, exaustive structural characterization and quantitative determination of the modification degree for phosphopeptides/phosphoproteins. These methodologies are now successfully applied to the global analysis of cellular proteome repertoire according a holistic approach, allowing the quantitative study of phosphoproteomes on a dynamic time-course basis. The enormous complexity of the protein phosphorylation pattern inside the cell and its dynamic modification will grant important challenges to future scientists, contributing significantly to deeper insights into cellular processes and cell regulation.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2006

Phospho-proteomic analysis of cellular signaling.

Reversible protein phosphorylation plays an important role in the regulation of many different processes, such as cell growth, differentiation, migration, metabolism, and apoptosis. Identification of differentially phosphorylated proteins by means of phospho-proteomic analysis provides insight into signal transduction pathways that are activated in response to, for example, growth factor stimulation or toxicant-induced apoptosis. This review summarizes recent advances made in the field of phospho-proteomics and provides examples of how phospho-proteomic techniques can be combined to quantitatively investigate the dynamic changes in protein phosphorylation in time. By linking experimental data to clinical data (e.g., disease progression or response to therapy) new disease markers could be identified, which could then be validated for applications in disease diagnosis and progression or prediction of a response to drugs.

Animals↗

PubMed2025

Association Analysis of the Circulating Proteome With Sarcopenia-Related Traits Reveals Potential Drug Targets for Sarcopenia.

BACKGROUND: Sarcopenia severely affects the physical health of the elderly. Currently, there is no specific drug available for sarcopenia. This study aims to identify pathogenic proteins and druggable targets for sarcopenia through Mendelian randomization (MR)-based analytical framework. METHODS: A sequential stepwise screening method that includes two-sample MR, Steiger filtering test and colocalization (MRSC) was applied to identify causal proteins associated with sarcopenia-related traits. In the MR analyses, 4372 circulating proteins with valid instrumental variables (IVs) from eight proteomic genome-wide association studies were utilized as exposures, and nine sarcopenia-related traits were utilized as outcomes. IVs were classified into cis-protein quantitative trait loci (pQTLs) and trans-pQTLs based on their positions. We conducted cis-only MRSC analyses and cis + trans MRSC analyses using cis-pQTLs and cis + trans pQTLs as IVs, respectively. Post-MRSC analyses were conducted on the prioritized findings of MRSC, including annotation of protein-altering variants (PAVs), assessment of overlap between pQTLs and expression quantitative trait loci (eQTLs), protein-protein interaction (PPI) analysis, pathway enrichment analysis and annotation of drug targets. Utilizing data from the UK Biobank, we performed an observational study to explore the associations between baseline circulating protein levels and the longitudinal changes in nine sarcopenia-related traits. RESULTS: A total of 181 causal associations for 65 proteins were prioritized by the cis-only MRSC analyses and 227 associations for 91 proteins were prioritized by the cis + trans MRSC analyses. Among the prioritized proteins, the majority of them employed non-PAVs as IVs and most of their cis-pQTLs overlapped with corresponding eQTLs and exhibited consistent directionality, with only one trans-pQTL overlapping with an eQTL. The PPI network of cis-only MRSC-prioritized proteins (p = 4.04 × 10-4) and cis + trans MRSC-prioritized proteins (p = 8.76 × 10-5) showed significantly more interactions than expected. Reactome, KEGG and GO pathway enrichment analyses for cis-only MRSC-prioritized proteins identified 52, 12 and 79 enriched pathways, respectively (adjusted p < 0.05). For proteins identified by cis + trans MRSC analyses, only 15 pathways were enriched through the GO pathway enrichment analyses. In the observational study, 197 circulating proteins were identified to be associated with one or more sarcopenia-related traits (p < 0.05/2923). Among them, the significant associations of CTSB (negative association) and ASGR1 (positive association) with sarcopenia-related traits were observed to have consistent directional associations in both MR-based studies and observational studies. Drug target annotations suggested that 52 MRSC-prioritized proteins and 145 biomarkers are drug targets or druggable. CONCLUSIONS: This study identified 89 potential pathogenic proteins and 197 candidate biomarkers for sarcopenia, providing valuable clues for the development of therapeutic drugs for sarcopenia.

Humans↗

PubMed2004

Membrane protease proteomics: Isotope-coded affinity tag MS identification of undescribed MT1-matrix metalloproteinase substrates.

By proteolytic modification of low abundant signaling proteins and membrane receptors, proteases exert potent posttranslational control over cell behavior at the postsecretion level. Hence, substrate discovery is indispensable for understanding the biological role of proteases in vivo. Indeed, matrix metalloproteinases (MMPs), long associated with extracellular matrix degradation, are increasingly recognized as important processing enzymes of bioactive molecules. MS is now the primary proteomic technique for detecting, identifying, and quantitating proteins in cells or tissues. Here we used isotopecoded affinity tag labeling and multidimensional liquid chromatography inline with tandem MS to identify MDA-MB-231 breast carcinoma cell proteins shed from the cell surface or the pericellular matrix and extracellular proteins that were degraded or processed after transfection with human membrane type 1-MMP (MT1-MMP). Potential substrates were identified as those having altered protein levels compared with the E240A inactive MT1-MMP mutant or vector transfectants. New substrates were biochemically confirmed by matrix-assisted laser desorption ionization-time-of-flight MS and Edman sequencing of cleavage fragments after incubation with recombinant soluble MT1-MMP in vitro. We report many previously uncharacterized substrates of MT1-MMP, including the neutrophil chemokine IL-8, secretory leukocyte protease inhibitor, pro-tumor necrosis factor alpha, death receptor-6, and connective tissue growth factor, indicating that MT1-MMP is an important signaling protease in addition to its traditionally ascribed roles in pericellular matrix remodeling. Moreover, the high-throughput and quantitative nature of isotope-coded affinity tag labeling combined with tandem MS sequencing is a previously undescribed degradomic screen for protease substrate discovery that should be generally adaptable to other classes of protease for exploring proteolytic function in complex and dynamic biological contexts.

Adaptor Proteins, Signal Transducing↗

PubMed2006

Analysis of porcine peripheral blood mononuclear cells proteome by 2-DE and MS: analytical and biological variability in the protein expression level and protein identification.

In this paper, we present the protein map corresponding to the porcine peripheral blood mononuclear cells (PBMC) to better understand the role of these cells in the pig immune system. To conform the map, the proteins were separated by 2-DE using a 5-8 range pH gradient in IEF and approximately 800 spots were detected. Due to the high level of indeterminate variability associates to the 2-DE, analytical and biological variances were analyzed. The analytical variance was calculated for 50 proteins in three replicate 2-DE gels from the same protein extract whereas the biological variance was determined by comparison of the patterns obtained for the same 50 proteins in different animals. Values of 15.13 and 33.70% were determined for analytical and biological variances, respectively. These average variances will provide a quantified and statistical basis for future proteomic studies directed to evaluate relevant quantitative changes in the biological response. A representative set of the major proteins was subjected to MALDI-TOF analysis and over 75% of the proteins were identified on the basis of their similarity with its human homologue proteins. A large number of cytoskeletal and metabolic proteins were found as well as some proteins related to cell mobility and immunological functions. Finally, other proteins implicated in the cell signaling process, transport or apoptosis were also identified giving a wide overview of the porcine PBMC protein map.

Animals↗